Method for automatically setting a piece of equipment and classifier

Abstract

A classification and, in particular, a time stability thereof are intended to be improved. To this end, a method automatically sets a piece of equipment, in which a classifying is performed with an aid of movable clusters and fixed clusters. This allows the classification to be trained, but also allows a certain basic property of the system to be ensured. This is advantageous in particular for hearing aids and transformers in smart grids.

The invention claimed is: 
     
       1. A method for automatically setting a piece of equipment, which comprises the steps of:
 determining a feature vector from an input signal of the equipment; 
 providing a movable cluster from a subset of movable clusters and a fixed cluster from a subset of fixed clusters in a multidimensional space, wherein the fixed cluster being situated at a fixed first cluster position in the multidimensional space; 
 displacing the movable cluster in a direction of the feature vector to a second cluster position; 
 assigning respectively one setting variable to the movable cluster and the fixed cluster, by means of the one setting variable the equipment can be set; and 
 setting the equipment, for which purpose an output variable is computed on a basis of the first cluster position, the second cluster position and setting variables. 
 
     
     
       2. The method according to  claim 1 , wherein the displacing of the movable cluster is performed depending on a trigger signal. 
     
     
       3. The method according to  claim 2 , wherein the trigger signal is a switch-on signal, a time signal or a user input signal. 
     
     
       4. The method according to  claim 1 , wherein there are a multiplicity of movable clusters and the feature vector is assigned to that one of the movable clusters to which it has a smallest spatial distance, and the movable cluster is affected by displacement. 
     
     
       5. The method according to  claim 1 , wherein at least one of the setting variables is at least in part modified by a user input. 
     
     
       6. The method according to  claim 5 , wherein each of the setting variables of the fixed cluster and/or the movable cluster can only be modified within a range specifically predefined in each case. 
     
     
       7. The method according to  claim 1 , wherein the setting variable of a displaced cluster is determined by a neighborhood-based regression or recursive updating. 
     
     
       8. The method according to  claim 1 , wherein the setting variable is selected from the group consisting of a parameter value, a parameter vector, a predefined class value and a gradual class value. 
     
     
       9. A classifier for an automatically settable piece of equipment, the classifier comprising:
 a signal input apparatus for providing an electrical input signal; 
 a feature extraction apparatus for establishing a feature vector from an input signal; 
 a position assignment apparatus, in which a movable cluster from a subset of movable clusters and a fixed cluster from a subset of fixed clusters are provided in a multidimensional space, the fixed cluster being situated at a fixed first cluster position in the multidimensional space; 
 an adaptation apparatus for displacing the movable cluster in a direction of the feature vector to a second cluster position, wherein respectively one setting variable is assigned to the movable cluster and the fixed cluster, wherein by means of the one setting variable the automatically settable piece of equipment can be set; and 
 an output apparatus for outputting an output variable for setting the automatically settable piece of equipment on a basis of the first cluster position, the second cluster position and setting variables. 
 
     
     
       10. A hearing device, comprising:
 a classifier for an automatically settable piece of equipment, said classifier containing:
 an signal input apparatus for providing an electrical input signal; 
 a feature extraction apparatus for establishing a feature vector from an audible input signal; 
 a position assignment apparatus, in which a movable cluster from a subset of movable clusters and a fixed cluster from a subset of fixed clusters are provided in a multidimensional space, the fixed cluster being situated at a fixed first cluster position in the multidimensional space; 
 an adaptation apparatus for displacing the movable cluster in a direction of the feature vector to a second cluster position, wherein respectively one setting variable is assigned to the movable cluster and the fixed cluster, wherein by means of the one setting variable the automatically settable piece of equipment can be set; and 
 an output apparatus for outputting an output variable for setting the automatically settable piece of equipment on a basis of the first cluster position, the second cluster position and setting variables.